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ORCIDSijia Zhou
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2025
[j8]Heng Zhao, Sijia Zhou:
Foot in both camps: How do activities on third-party online healthcare platforms affect doctors' demand on official online healthcare platforms? Decis. Support Syst. 188: 114350 (2025)- 2024
- [c7]Sijia Zhou, Yunwen Lei, Ata Kabán:
Self-certified Tuple-Wise Deep Learning. ECML/PKDD (2) 2024: 303-320 - 2023
- [j7]Jiaqi Zhou, Qingpeng Zhang, Sijia Zhou
, Xin Li, Xiaoquan (Michael) Zhang:
Unintended Emotional Effects of Online Health Communities: A Text Mining-Supported Empirical Study. MIS Q. 47(1): 195-226 (2023) - [j6]Qianyu Liu, Chiew Foong Kwong, Sun Wei, Sijia Zhou, Lincan Li, Pushpendu Kar:
Reinforcement learning-based joint self-optimisation method for the fuzzy logic handover algorithm in 5G HetNets. Neural Comput. Appl. 35(10): 7297-7313 (2023) - [c6]Yilin Duan, Sijia Zhou, Xiaoyue Peng, Xiaojun Kang, Hong Yao:
Neural-Symbolic Reasoning with External Knowledge for Machine Reading Comprehension. ICONIP (11) 2023: 440-452 - [c5]Sijia Zhou, Yunwen Lei, Ata Kabán:
Toward Better PAC-Bayes Bounds for Uniformly Stable Algorithms. NeurIPS 2023 - 2022
- [j5]Chunyan Yu, Sijia Zhou, Meiping Song, Chein-I Chang:
Semisupervised Hyperspectral Band Selection Based on Dual-Constrained Low-Rank Representation. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j4]Qinghua Xiong, Sijia Zhou, Qiushi Chen:
Abnormal driving behavior detection based on kernelization-sparse representation in video surveillance. Multim. Tools Appl. 81(4): 4585-4601 (2022) - [j3]Chunyan Yu, Sijia Zhou, Meiping Song, Baoyu Gong, Enyu Zhao, Chein-I Chang:
Unsupervised Hyperspectral Band Selection via Hybrid Graph Convolutional Network. IEEE Trans. Geosci. Remote. Sens. 60: 1-15 (2022) - 2021
- [j2]Qianyu Liu, Chiew Foong Kwong, Sijia Zhou, Tianhao Ye, Lincan Li, Saeid Pourroostaei Ardakani:
Autonomous Mobility Management for 5G Ultra-Dense HetNets via Reinforcement Learning With Tile Coding Function Approximation. IEEE Access 9: 97942-97952 (2021) - [c4]Zhihua Ding, Yijie Wu, Peng Jia, Jiaxing Li, Sijia Zhou:
Research on Load Forecasting Method Considering Data Feature Analysis Based on Bi-LSTM Network. ICBDS 2021: 256-268 - 2020
- [j1]Sijia Zhou, Xin Li:
Feature engineering vs. deep learning for paper section identification: Toward applications in Chinese medical literature. Inf. Process. Manag. 57(3): 102206 (2020) - [c3]Qiang Cao, Wei Hu, Sijia Zhou, Bei Luo, Yuxuan Yu, Stephen Shaoyi Liao, J. Leon Zhao, Raymond Yiu-Keung Lau:
The Role of Media Coverage on Pandemic Containment: Empirical Analysis of the COVID-19 Case. PACIS 2020: 162
2010 – 2019
- 2019
- [c2]Jingwei Da, Danni Yan, Sijia Zhou, Yidi Liu, Xin Li, Yani Shi, Jiaqi Yan, Zhongmin Wang:
Prediction of Hospital Readmission for Heart Disease: A Deep Learning Approach. ICSH 2019: 16-26 - 2018
- [c1]Sijia Zhou, Xin Li:
Section Identification to Improve Information Extraction from Chinese Medical Literature. ICSH 2018: 342-350
Coauthor Index
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